Senior Research Scientist, World Action Modeling (AI)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Senior Research Scientist, World Action Modeling (AI): Design and implement generative world action modeling solutions to simulate future world states and generate policies for autonomous vehicles with an accent on scaling efficacy and model architecture design. Focus on conducting cutting-edge research and collaborating across /Alphabet to apply developed techniques to products.
Location: This role follows a hybrid work schedule and reports to a Staff Research Scientist / Tech Lead Manager.
Salary: $213,000—$263,000 USD
Company
is an autonomous driving technology company with the mission to be the world's most trusted driver.
What you will do
- Design and implement generative world action modeling solutions to simulate future world states and generate policies for autonomous vehicles.
- Develop and maintain scalable data pipelines to process data from multiple sources.
- Design and implement evaluation strategies for world action models.
- Study and analyze different behaviors of this model, such as scaling efficacy, downstream quality implications, model architecture design ablations, etc.
- Conduct cutting-edge research and potentially communicate research findings to the wider academic community.
- Collaborate inclusively across /Alphabet to apply developed techniques to products.
Requirements
- PhD degree in Computer Science or a similar discipline, or an equivalent amount of deep learning research experience, with 5+ years of experience with Deep Learning and Generative Models.
- Strong coding skills in Python and strong familiarity with major ML Frameworks (JAX, Tensorflow, Pytorch).
- Strong familiarity with AI tools in day to day work.
- Experience in large-scale distributed training and different forms of parallelism.
- Experience in generative models for domains such as world models, images, videos, 3D, human animation, traffic, and/or simulation, using techniques such as diffusion and/or autoregressive models.
Nice to have
- Publications at top-tier conferences like CVPR/ICCV/ECCV/ICLR/ICML/NeurIPS/IROS/CoRL etc.
- Substantial involvement in and contributions to high impact industry AI projects.
- First-hand experience in, and direct contributions to training large world models / world-action models.
- Familiarity with Reinforcement Learning in simulation environments.
Culture & Benefits
- Eligible to participate in ’s discretionary annual bonus program.
- Eligible to participate in equity incentive plan.
- Generous Company benefits program, subject to eligibility requirements.
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